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Modeling of a single bipolar electrode with tines for irreversible electroporation delivery.

Authors :
Zhao Y
McKillop IH
Davalos RV
Source :
Computers in biology and medicine [Comput Biol Med] 2022 Mar; Vol. 142, pp. 104870. Date of Electronic Publication: 2021 Sep 14.
Publication Year :
2022

Abstract

Irreversible electroporation (IRE) is a non-thermal tumor ablation technology employed to treat solid tumors not amenable to resection or thermal ablation. The IRE systems currently in clinical use deliver electrical pulses via multiple monopolar electrodes. This approach can present significant technical challenges due to the requirement for accurate placement of multiple electrodes and maintenance of parallel electrode alignment during pulse delivery. In this study, we sought to evaluate a novel IRE electrode configuration consisting of a single bipolar electrode with deployable tines. Using commercial finite element software predicted ablation outcomes, thermal damage, ablation sphericity, and energy delivery were calculated for existing monopolar and bipolar electrodes, and bipolar electrodes with either 4 or 8 deployable tines. The bipolar electrodes with tines generated larger predicted ablations compared to existing monopolar (>100%) and bipolar (>10%) arrangements, and the ablation shape using bipolar electrodes with tines were more spherical than those modeled for bipolar electrodes. Thermal damage modeled for bipolar electrodes and bipolar electrodes with tines was less than that of monopolar electrodes (using identical pulse parameters), and bipolar electrodes with tines delivered less energy than monopolar or bipolar electrodes. These studies using a single point of device insertion suggest the potential for developing alternative IRE delivery techniques, and may simplify clinical use and increase the predicted ablation shape/volume.<br /> (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Subjects

Subjects :
Electrodes
Electroporation methods

Details

Language :
English
ISSN :
1879-0534
Volume :
142
Database :
MEDLINE
Journal :
Computers in biology and medicine
Publication Type :
Academic Journal
Accession number :
35051854
Full Text :
https://doi.org/10.1016/j.compbiomed.2021.104870